Cited by 18Electronic Health Records SystemsClinical Laboratory Practices and Quality ControlHealthcare Systems and Technology

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Full impact of laboratory information system requires direct use by clinical staff: cluster randomized controlled trial

Open access
Blaya, Joaquín A, Shin, Sonya, Contreras, Carmen, Yale, Gloria, Suarez, Carmen, Asencios, Luis, Kim, Jihoon, Rodriguez, Pablo, Cegielski, Peter, Fraser, Hamish S F·2011·Journal of the American Medical Informatics Association

Abstract

OBJECTIVE: To evaluate the time to communicate laboratory results to health centers (HCs) between the e-Chasqui web-based information system and the pre-existing paper-based system. METHODS: Cluster randomized controlled trial in 78 HCs in Peru. In the intervention group, 12 HCs had web access to results via e-Chasqui (point-of-care HCs) and forwarded results to 17 peripheral HCs. In the control group, 22 point-of-care HCs received paper results directly and forwarded them to 27 peripheral HCs. Baseline data were collected for 15 months. Post-randomization data were collected for at least 2 years. Comparisons were made between intervention and control groups, stratified by point-of-care versus peripheral HCs. RESULTS: For point-of-care HCs, the intervention group took less time to receive drug susceptibility tests (DSTs) (median 9 vs 16 days, p<0.001) and culture results (4 vs 8 days, p<0.001) and had a lower proportion of 'late' DSTs taking >60 days to arrive (p<0.001) than the control. For peripheral HCs, the intervention group had similar communication times for DST (median 22 vs 19 days, p=0.30) and culture (10 vs 9 days, p=0.10) results, as well as proportion of 'late' DSTs (p=0.57) compared with the control. CONCLUSIONS: Only point-of-care HCs with direct access to the e-Chasqui information system had reduced communication times and fewer results with delays of >2 months. Peripheral HCs had no benefits from the system. This suggests that health establishments should have point-of-care access to reap the benefits of electronic laboratory reporting.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/jamia.2010.005280

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Although in a systematic review published in 1997 most studies of picture archiving and communication systems were found to cite the benefits of such systems, evidence of improvements in health outcomes, efficiency or costs was nil.

    “Although in a systematic review published in 1997 most studies of picture archiving and communication systems were found to cite the benefits of such systems, evidence of improvements in health outcomes, efficiency or costs was nil.”

    From Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here? (2012) · cites this paper as [24]

    The Introduction and Discussion address laboratory-result reporting and the e-Chasqui system, not picture archiving and communication systems. Searches for PACS, a 1997 systematic review, and the claimed absence of evidence on health outcomes, efficiency, or costs found no passage addressing that claim in our copy. (LLM, conf=0.76)

    Experimental — accuracy not yet measured
  • There appeared to be no convincing proof that digital X-ray images were at least as good as conventional X-ray films in terms of diagnostic accuracy.

    “There also appeared to be no convincing proof that digital X-ray images were at least as good as conventional X-ray films in terms of diagnostic accuracy.”

    From Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here? (2012) · cites this paper as [24]

    The Outcomes and Laboratory RDT sections assess how quickly tuberculosis culture and drug-susceptibility results reached health centers, not the diagnostic accuracy of X-ray images. Searches for digital X-rays, conventional film, and diagnostic accuracy found no passage addressing the claim. Page numbers were not provided for these passages. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 21

  1. 10.1136/jcp.2005.029983 · DOI
  2. Georgiou A Williamson M Westbrook JI . The impact of computerised physician order entry systems on pathology services: a systematic review. Int J med inform 2006. · DOI
  3. 10.1197/jamia.M1074 · DOI
  4. 10.1136/jamia.2001.0080299 · DOI · Paper page
  5. Ward M Brandsema P van Straten E . Electronic reporting improves timeliness and completeness of infectious disease notification, The Netherlands, 2003. Euro Surveill 2005;10:27–30.
  6. 10.3201/eid0909.020486 · DOI
  7. 10.1017/S0950268804003632 · DOI
  8. Barenfanger J Drake C Leon N . Clinical and financial benefits of rapid detection of respiratory viruses: an outcomes study. J Clin Microbiol 2000;38:2824–8. · DOI
  9. 10.1309/E9QPVQ6G2FBVMJ3B · DOI
  10. 10.3201/eid1405.070721 · DOI
  11. Blaya J Holt B Fraser H . Evaluations of the impact of eHealth technologies in developing countries: a systematic review. Bellagio, Italy: Rockefeller Foundaiton eHealth Conference, 2008.
  12. 10.1186/1472-6947-7-33 · DOI
  13. Solis LA Shin SS Han LL . Validation of a rapid method for detection of M. tuberculosis resistance to isoniazid and rifampin in Lima, Peru. Int J Tuberc Lung Dis 2005;9:760–4.
  14. Yagui M Perales MT Asencios L . Timely diagnosis of MDR-TB under program conditions: is rapid drug susceptibility testing sufficient? Int J Tuberc Lung Dis 2006;10:838–43.
  15. 10.1136/bmj.313.7057.570 · DOI
  16. 10.1136/bmj.329.7475.1142 · DOI · Paper page
  17. 10.1016/j.ijmedinf.2008.09.005 · DOI
  18. 10.2307/2290084 · DOI
  19. 10.1080/00949659308811554 · DOI
  20. 10.1093/biomet/78.4.719 · DOI
  21. Blaya J Fraser H Holt B . E-health technologies show promise in developing countries. Health Aff 2010;29:243–50. · DOI · Paper page

Cited by

Sorted by citations

Metadata

Authors
Blaya, J. A., Shin, S., Contreras, C., Yale, G., Suarez, C., Asencios, L., Kim, J., Rodriguez, P., Cegielski, P., & Fraser, H. S. F.
Affiliations
  • Brigham and Women's Hospital (US)
  • Defense Information Systems Agency (US)
  • Instituto Nacional de Salud (PE)
  • University of California San Diego (US)
  • Centers for Disease Control and Prevention (US)
Corresponding author
Blaya, Joaquín A
Venue
Journal of the American Medical Informatics Association
Published
2011-01
Volume
18
Issue
1
Pages
11-16
ISSN
  • 1067-5027 (ISSN-L)
  • 1527-974X
OpenAlex
W2132696680
Cited by
18
References
1
Citations by year
2026: 1 · 2024: 1 · 2020: 2 · 2019: 1 · 2018: 1 · 2017: 4 · 2014: 3 · 2013: 1 · 2012: 3
FWCI
2.99
Type
journal article
Language
en
Open access
Locations
  • Journal of the American Medical Informatics Association (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • David Rockefeller Center for Latin American Studies, Harvard University
Topics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Systems and Technology
Keywords
laboratory information systems, electronic laboratory reporting, drug susceptibility testing, culture results, point-of-care access, health centers
MeSH terms
Clinical Laboratory Information Systems, Humans, Multi-Institutional Systems, National Health Programs, Peru, Time Factors, Tuberculosis, Efficiency, Organizational, Point-of-Care Systems, Internet, Information Dissemination, Intention to Treat Analysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review